Abstract
With the rapid development of the Internet of Things technology and the popularization of its application, the technology is gradually applied to the agricultural field. The application of the Internet of Things technology to agricultural management has effectively promoted the rapid development of the agricultural industry. Transforming traditional irrigation methods through modern irrigation technology and realizing “on-demand irrigation” can not only increase the utilization rate of water resources and slow down the trend of increasingly tense water resources, but also increase crop output and increase people’s income. The purpose of this paper is to study the smart agricultural irrigation system based on the perception environment of the Internet of Things. Based on wireless sensor network technology, this paper designs and implements an agricultural irrigation intelligent control system. This article fully analyzes the requirements of the farmland irrigation monitoring system, clarifies the functions and design requirements of the system, and designs the overall scheme of the system, and divides the software and hardware modules of the system on the basis of this overall scheme. Starting from the actual application, this article carried out effective practice on the engineering design, equipment debugging and follow-up maintenance of the irrigation system. Through the practice of energy saving, water saving, intelligent control, etc., it provides a demonstration and practice for precision agriculture. Experimental research shows that after adopting low power consumption measures, the battery voltage of the smart agricultural irrigation system used in this paper drops by 0.8 V within 12 h. It can be seen that the low power consumption strategy adopted in this paper can greatly reduce the system power consumption during operation.
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Yuan, C. (2021). Exploration and Realization of Smart Agricultural Irrigation System Based on IOT Perception Environment. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2021. Advances in Intelligent Systems and Computing, vol 1385. Springer, Cham. https://doi.org/10.1007/978-3-030-74814-2_21
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DOI: https://doi.org/10.1007/978-3-030-74814-2_21
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